@snippkit/mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SNIPPKIT_API_KEY | Yes | Your SnippKit API key used to authenticate the MCP server. Generate it from SnippKit Dashboard > Settings > Developer Keys. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| snippkit_search_skillsC | Search the SnippKit AI Skills Registry for agent capabilities, procedural rules, and autonomous instructions. |
| snippkit_get_skillB | Fetch the complete SKILL.md instructions and procedural rules for an AI skill from SnippKit. Use this to guide your execution with expert domain knowledge. |
| snippkit_search_snippetsB | Search your personal and bookmarked code snippets library in SnippKit by title, language, or keyword. |
| snippkit_get_snippetA | Retrieve the decrypted source code of a specific code snippet from SnippKit by ID or slug. |
| snippkit_save_snippetB | Save newly generated or refactored code directly into your SnippKit library. Persists solutions across your projects and environments. |
| snippkit_search_commandsB | Search verified shell commands, deployment scripts, and terminal runbooks stored in your SnippKit library. |
| snippkit_get_commandA | Retrieve the shell commands/scripts from a runbook in SnippKit by ID or slug. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| use-skill | Load and apply a procedural AI skill from SnippKit into your context window. |
| save-solution | Prompt the AI agent to review the code just written and save it as a reusable snippet in SnippKit. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool pairs a clear verb (search/get/save) with a distinct resource (skills, snippets, commands), so overlaps are minimal. The only mild ambiguity is conceptual: skills, snippets, and commands can all contain code-like content, so an agent might briefly hesitate between search_skills and search_snippets, but the descriptions resolve it.
All names follow a uniform `snippkit_<verb>_<resource>` snake_case pattern, which is highly predictable. The only deviation is singular vs. plural resource nouns (search_skills vs get_skill), a minor inconsistency that doesn't impede selection.
Seven tools is well-scoped for a registry/library server, with a symmetric search+get pair per resource and a single write operation. Every tool earns its place and nothing feels redundant or padded.
Search and retrieval are covered symmetrically across skills, snippets, and commands, and snippets support creation. However, snippets lack update/delete operations and the write path is asymmetric (no save for commands, no delete anywhere), leaving notable lifecycle gaps.